Pandas Profiling Report

Dataset statistics

Number of variables	70
Number of observations	15000
Missing cells	3703
Missing cells (%)	0.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.0 MiB
Average record size in memory	560.0 B

Variable types

Numeric	7
Categorical	63

Alerts

`country` has a high cardinality: 137 distinct values	High cardinality
`Q1` is highly correlated with `Q4`	High correlation
`Q4` is highly correlated with `Q1`	High correlation
`Q7` is highly correlated with `Q12`	High correlation
`Q11` is highly correlated with `Q19`	High correlation
`Q12` is highly correlated with `Q7`	High correlation
`Q19` is highly correlated with `Q11`	High correlation
`testelapse` is highly correlated with `surveyelapse`	High correlation
`surveyelapse` is highly correlated with `testelapse`	High correlation
`TIPI1` is highly correlated with `TIPI6`	High correlation
`TIPI4` is highly correlated with `TIPI9`	High correlation
`TIPI6` is highly correlated with `TIPI1`	High correlation
`TIPI9` is highly correlated with `TIPI4`	High correlation
`VCL1` is highly correlated with `VCL4` and 3 other fields	High correlation
`VCL4` is highly correlated with `VCL1` and 2 other fields	High correlation
`VCL10` is highly correlated with `VCL1` and 1 other fields	High correlation
`VCL15` is highly correlated with `VCL1` and 3 other fields	High correlation
`VCL16` is highly correlated with `VCL1` and 2 other fields	High correlation
`education` is highly correlated with `age`	High correlation
`age` is highly correlated with `education` and 1 other fields	High correlation
`married` is highly correlated with `age`	High correlation
`Q1` is highly correlated with `Q4`	High correlation
`Q4` is highly correlated with `Q1`	High correlation
`Q7` is highly correlated with `Q12`	High correlation
`Q11` is highly correlated with `Q19`	High correlation
`Q12` is highly correlated with `Q7`	High correlation
`Q19` is highly correlated with `Q11`	High correlation
`TIPI1` is highly correlated with `TIPI6`	High correlation
`TIPI4` is highly correlated with `TIPI9`	High correlation
`TIPI6` is highly correlated with `TIPI1`	High correlation
`TIPI9` is highly correlated with `TIPI4`	High correlation
`VCL1` is highly correlated with `VCL4` and 3 other fields	High correlation
`VCL4` is highly correlated with `VCL1` and 2 other fields	High correlation
`VCL10` is highly correlated with `VCL1` and 1 other fields	High correlation
`VCL15` is highly correlated with `VCL1` and 3 other fields	High correlation
`VCL16` is highly correlated with `VCL1` and 2 other fields	High correlation
`Q1` is highly correlated with `Q4`	High correlation
`Q4` is highly correlated with `Q1`	High correlation
`Q11` is highly correlated with `Q19`	High correlation
`Q19` is highly correlated with `Q11`	High correlation
`TIPI4` is highly correlated with `TIPI9`	High correlation
`TIPI9` is highly correlated with `TIPI4`	High correlation
`VCL1` is highly correlated with `VCL4` and 3 other fields	High correlation
`VCL4` is highly correlated with `VCL1` and 2 other fields	High correlation
`VCL10` is highly correlated with `VCL1` and 1 other fields	High correlation
`VCL15` is highly correlated with `VCL1` and 3 other fields	High correlation
`VCL16` is highly correlated with `VCL1` and 2 other fields	High correlation
`education` is highly correlated with `age`	High correlation
`age` is highly correlated with `education`	High correlation
`VCL10` is highly correlated with `VCL1` and 1 other fields	High correlation
`VCL16` is highly correlated with `VCL4` and 2 other fields	High correlation
`VCL4` is highly correlated with `VCL16` and 2 other fields	High correlation
`VCL1` is highly correlated with `VCL10` and 3 other fields	High correlation
`VCL15` is highly correlated with `VCL10` and 3 other fields	High correlation
`Q1` is highly correlated with `Q3` and 1 other fields	High correlation
`Q2` is highly correlated with `Q12` and 1 other fields	High correlation
`Q3` is highly correlated with `Q1` and 4 other fields	High correlation
`Q4` is highly correlated with `Q1`	High correlation
`Q5` is highly correlated with `Q9` and 2 other fields	High correlation
`Q6` is highly correlated with `Q9` and 3 other fields	High correlation
`Q7` is highly correlated with `Q12` and 1 other fields	High correlation
`Q8` is highly correlated with `Q13` and 2 other fields	High correlation
`Q9` is highly correlated with `Q5` and 4 other fields	High correlation
`Q11` is highly correlated with `Q19`	High correlation
`Q12` is highly correlated with `Q2` and 2 other fields	High correlation
`Q13` is highly correlated with `Q6` and 6 other fields	High correlation
`Q14` is highly correlated with `Q20`	High correlation
`Q15` is highly correlated with `Q2`	High correlation
`Q16` is highly correlated with `Q3` and 2 other fields	High correlation
`Q17` is highly correlated with `Q3` and 5 other fields	High correlation
`Q19` is highly correlated with `Q11`	High correlation
`Q20` is highly correlated with `Q13` and 1 other fields	High correlation
`Q22` is highly correlated with `Q13` and 1 other fields	High correlation
`Q23` is highly correlated with `Q6` and 3 other fields	High correlation
`Q24` is highly correlated with `Q5` and 2 other fields	High correlation
`Q25` is highly correlated with `Q7` and 1 other fields	High correlation
`Q26` is highly correlated with `Q5` and 3 other fields	High correlation
`introelapse` is highly correlated with `testelapse`	High correlation
`testelapse` is highly correlated with `introelapse`	High correlation
`TIPI1` is highly correlated with `Q3` and 3 other fields	High correlation
`TIPI3` is highly correlated with `TIPI8`	High correlation
`TIPI4` is highly correlated with `TIPI9`	High correlation
`TIPI6` is highly correlated with `Q3` and 2 other fields	High correlation
`TIPI8` is highly correlated with `TIPI3`	High correlation
`TIPI9` is highly correlated with `TIPI4`	High correlation
`VCL1` is highly correlated with `VCL2` and 5 other fields	High correlation
`VCL2` is highly correlated with `VCL1` and 6 other fields	High correlation
`VCL3` is highly correlated with `VCL7` and 2 other fields	High correlation
`VCL4` is highly correlated with `VCL1` and 6 other fields	High correlation
`VCL5` is highly correlated with `VCL1` and 6 other fields	High correlation
`VCL7` is highly correlated with `VCL3` and 2 other fields	High correlation
`VCL8` is highly correlated with `VCL7` and 1 other fields	High correlation
`VCL10` is highly correlated with `VCL1` and 5 other fields	High correlation
`VCL11` is highly correlated with `VCL3` and 2 other fields	High correlation
`VCL13` is highly correlated with `VCL2` and 2 other fields	High correlation
`VCL14` is highly correlated with `VCL2` and 4 other fields	High correlation
`VCL15` is highly correlated with `VCL1` and 6 other fields	High correlation
`VCL16` is highly correlated with `VCL1` and 4 other fields	High correlation
`education` is highly correlated with `voted`	High correlation
`voted` is highly correlated with `education`	High correlation
`country` has 190 (1.3%) missing values	Missing
`education` has 167 (1.1%) missing values	Missing
`religion` has 245 (1.6%) missing values	Missing
`orientation` has 399 (2.7%) missing values	Missing
`familysize` has 319 (2.1%) missing values	Missing
`introelapse` is highly skewed (γ1 = 48.40398766)	Skewed
`testelapse` is highly skewed (γ1 = 44.46473054)	Skewed
`surveyelapse` is highly skewed (γ1 = 82.28836108)	Skewed
`age` is highly skewed (γ1 = 122.1567763)	Skewed
`familysize` is highly skewed (γ1 = 120.5748218)	Skewed
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique

Reproduction

Analysis started	2022-08-02 17:36:16.552782
Analysis finished	2022-08-02 17:37:34.891183
Duration	1 minute and 18.34 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	15000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7499.5

Minimum	0
Maximum	14999
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	0
5-th percentile	749.95
Q1	3749.75
median	7499.5
Q3	11249.25
95-th percentile	14249.05
Maximum	14999
Range	14999
Interquartile range (IQR)	7499.5

Descriptive statistics

Standard deviation	4330.271354
Coefficient of variation (CV)	0.5774080077
Kurtosis	-1.2
Mean	7499.5
Median Absolute Deviation (MAD)	3750
Skewness	0
Sum	112492500
Variance	18751250
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
10004	1	< 0.1%
9992	1	< 0.1%
9993	1	< 0.1%
9994	1	< 0.1%
9995	1	< 0.1%
9996	1	< 0.1%
9997	1	< 0.1%
9998	1	< 0.1%
9999	1	< 0.1%
Other values (14990)	14990	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
14999	1	< 0.1%
14998	1	< 0.1%
14997	1	< 0.1%
14996	1	< 0.1%
14995	1	< 0.1%
14994	1	< 0.1%
14993	1	< 0.1%
14992	1	< 0.1%
14991	1	< 0.1%
14990	1	< 0.1%

Q1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	41
Missing (%)	0.3%
Memory size	117.3 KiB

5.0	5939
4.0	4924
3.0	2444
2.0	1055
1.0	597

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44877
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	4.0
3rd row	4.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	5939	39.6%
4.0	4924	32.8%
3.0	2444	16.3%
2.0	1055	7.0%
1.0	597	4.0%
(Missing)	41	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	5939	39.7%
4.0	4924	32.9%
3.0	2444	16.3%
2.0	1055	7.1%
1.0	597	4.0%

Most occurring characters

Value	Count	Frequency (%)
.	14959	33.3%
0	14959	33.3%
5	5939	13.2%
4	4924	11.0%
3	2444	5.4%
2	1055	2.4%
1	597	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29918	66.7%
Other Punctuation	14959	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14959	50.0%
5	5939	19.9%
4	4924	16.5%
3	2444	8.2%
2	1055	3.5%
1	597	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	14959	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44877	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14959	33.3%
0	14959	33.3%
5	5939	13.2%
4	4924	11.0%
3	2444	5.4%
2	1055	2.4%
1	597	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44877	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14959	33.3%
0	14959	33.3%
5	5939	13.2%
4	4924	11.0%
3	2444	5.4%
2	1055	2.4%
1	597	1.3%

Q2
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	69
Missing (%)	0.5%
Memory size	117.3 KiB

5.0	7236
4.0	4129
3.0	1688
2.0	1067
1.0	811

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44793
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	5.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	7236	48.2%
4.0	4129	27.5%
3.0	1688	11.3%
2.0	1067	7.1%
1.0	811	5.4%
(Missing)	69	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	7236	48.5%
4.0	4129	27.7%
3.0	1688	11.3%
2.0	1067	7.1%
1.0	811	5.4%

Most occurring characters

Value	Count	Frequency (%)
.	14931	33.3%
0	14931	33.3%
5	7236	16.2%
4	4129	9.2%
3	1688	3.8%
2	1067	2.4%
1	811	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29862	66.7%
Other Punctuation	14931	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14931	50.0%
5	7236	24.2%
4	4129	13.8%
3	1688	5.7%
2	1067	3.6%
1	811	2.7%

Other Punctuation

Value	Count	Frequency (%)
.	14931	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44793	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14931	33.3%
0	14931	33.3%
5	7236	16.2%
4	4129	9.2%
3	1688	3.8%
2	1067	2.4%
1	811	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44793	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14931	33.3%
0	14931	33.3%
5	7236	16.2%
4	4129	9.2%
3	1688	3.8%
2	1067	2.4%
1	811	1.8%

Q3
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	50
Missing (%)	0.3%
Memory size	117.3 KiB

5.0	7626
4.0	4788
3.0	1256
2.0	801
1.0	479

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44850
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	5.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	7626	50.8%
4.0	4788	31.9%
3.0	1256	8.4%
2.0	801	5.3%
1.0	479	3.2%
(Missing)	50	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	7626	51.0%
4.0	4788	32.0%
3.0	1256	8.4%
2.0	801	5.4%
1.0	479	3.2%

Most occurring characters

Value	Count	Frequency (%)
.	14950	33.3%
0	14950	33.3%
5	7626	17.0%
4	4788	10.7%
3	1256	2.8%
2	801	1.8%
1	479	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29900	66.7%
Other Punctuation	14950	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14950	50.0%
5	7626	25.5%
4	4788	16.0%
3	1256	4.2%
2	801	2.7%
1	479	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	14950	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44850	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14950	33.3%
0	14950	33.3%
5	7626	17.0%
4	4788	10.7%
3	1256	2.8%
2	801	1.8%
1	479	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14950	33.3%
0	14950	33.3%
5	7626	17.0%
4	4788	10.7%
3	1256	2.8%
2	801	1.8%
1	479	1.1%

Q4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	71
Missing (%)	0.5%
Memory size	117.3 KiB

5.0	5512
4.0	4313
3.0	2564
2.0	1619
1.0	921

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44787
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	4.0
4th row	2.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	5512	36.7%
4.0	4313	28.8%
3.0	2564	17.1%
2.0	1619	10.8%
1.0	921	6.1%
(Missing)	71	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	5512	36.9%
4.0	4313	28.9%
3.0	2564	17.2%
2.0	1619	10.8%
1.0	921	6.2%

Most occurring characters

Value	Count	Frequency (%)
.	14929	33.3%
0	14929	33.3%
5	5512	12.3%
4	4313	9.6%
3	2564	5.7%
2	1619	3.6%
1	921	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29858	66.7%
Other Punctuation	14929	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14929	50.0%
5	5512	18.5%
4	4313	14.4%
3	2564	8.6%
2	1619	5.4%
1	921	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	14929	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44787	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14929	33.3%
0	14929	33.3%
5	5512	12.3%
4	4313	9.6%
3	2564	5.7%
2	1619	3.6%
1	921	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44787	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14929	33.3%
0	14929	33.3%
5	5512	12.3%
4	4313	9.6%
3	2564	5.7%
2	1619	3.6%
1	921	2.1%

Q5
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	38
Missing (%)	0.3%
Memory size	117.3 KiB

5.0	5619
4.0	4833
3.0	2153
2.0	1458
1.0	899

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44886
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	4.0
3rd row	3.0
4th row	4.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
5.0	5619	37.5%
4.0	4833	32.2%
3.0	2153	14.4%
2.0	1458	9.7%
1.0	899	6.0%
(Missing)	38	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	5619	37.6%
4.0	4833	32.3%
3.0	2153	14.4%
2.0	1458	9.7%
1.0	899	6.0%

Most occurring characters

Value	Count	Frequency (%)
.	14962	33.3%
0	14962	33.3%
5	5619	12.5%
4	4833	10.8%
3	2153	4.8%
2	1458	3.2%
1	899	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29924	66.7%
Other Punctuation	14962	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14962	50.0%
5	5619	18.8%
4	4833	16.2%
3	2153	7.2%
2	1458	4.9%
1	899	3.0%

Other Punctuation

Value	Count	Frequency (%)
.	14962	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44886	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14962	33.3%
0	14962	33.3%
5	5619	12.5%
4	4833	10.8%
3	2153	4.8%
2	1458	3.2%
1	899	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44886	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14962	33.3%
0	14962	33.3%
5	5619	12.5%
4	4833	10.8%
3	2153	4.8%
2	1458	3.2%
1	899	2.0%

Q6
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	48
Missing (%)	0.3%
Memory size	117.3 KiB

4.0	4846
5.0	4336
3.0	3238
2.0	1659
1.0	873

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44856
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	5.0
3rd row	5.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
4.0	4846	32.3%
5.0	4336	28.9%
3.0	3238	21.6%
2.0	1659	11.1%
1.0	873	5.8%
(Missing)	48	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4.0	4846	32.4%
5.0	4336	29.0%
3.0	3238	21.7%
2.0	1659	11.1%
1.0	873	5.8%

Most occurring characters

Value	Count	Frequency (%)
.	14952	33.3%
0	14952	33.3%
4	4846	10.8%
5	4336	9.7%
3	3238	7.2%
2	1659	3.7%
1	873	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29904	66.7%
Other Punctuation	14952	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14952	50.0%
4	4846	16.2%
5	4336	14.5%
3	3238	10.8%
2	1659	5.5%
1	873	2.9%

Other Punctuation

Value	Count	Frequency (%)
.	14952	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44856	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14952	33.3%
0	14952	33.3%
4	4846	10.8%
5	4336	9.7%
3	3238	7.2%
2	1659	3.7%
1	873	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44856	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14952	33.3%
0	14952	33.3%
4	4846	10.8%
5	4336	9.7%
3	3238	7.2%
2	1659	3.7%
1	873	1.9%

Q7
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	76
Missing (%)	0.5%
Memory size	117.3 KiB

5.0	7584
4.0	4385
3.0	1581
2.0	854
1.0	520

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44772
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	5.0
4th row	3.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	7584	50.6%
4.0	4385	29.2%
3.0	1581	10.5%
2.0	854	5.7%
1.0	520	3.5%
(Missing)	76	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	7584	50.8%
4.0	4385	29.4%
3.0	1581	10.6%
2.0	854	5.7%
1.0	520	3.5%

Most occurring characters

Value	Count	Frequency (%)
.	14924	33.3%
0	14924	33.3%
5	7584	16.9%
4	4385	9.8%
3	1581	3.5%
2	854	1.9%
1	520	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29848	66.7%
Other Punctuation	14924	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14924	50.0%
5	7584	25.4%
4	4385	14.7%
3	1581	5.3%
2	854	2.9%
1	520	1.7%

Other Punctuation

Value	Count	Frequency (%)
.	14924	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44772	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14924	33.3%
0	14924	33.3%
5	7584	16.9%
4	4385	9.8%
3	1581	3.5%
2	854	1.9%
1	520	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44772	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14924	33.3%
0	14924	33.3%
5	7584	16.9%
4	4385	9.8%
3	1581	3.5%
2	854	1.9%
1	520	1.2%

Q8
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	48
Missing (%)	0.3%
Memory size	117.3 KiB

5.0	6605
4.0	3888
3.0	1823
1.0	1319
2.0	1317

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44856
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	5.0
4th row	5.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
5.0	6605	44.0%
4.0	3888	25.9%
3.0	1823	12.2%
1.0	1319	8.8%
2.0	1317	8.8%
(Missing)	48	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	6605	44.2%
4.0	3888	26.0%
3.0	1823	12.2%
1.0	1319	8.8%
2.0	1317	8.8%

Most occurring characters

Value	Count	Frequency (%)
.	14952	33.3%
0	14952	33.3%
5	6605	14.7%
4	3888	8.7%
3	1823	4.1%
1	1319	2.9%
2	1317	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29904	66.7%
Other Punctuation	14952	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14952	50.0%
5	6605	22.1%
4	3888	13.0%
3	1823	6.1%
1	1319	4.4%
2	1317	4.4%

Other Punctuation

Value	Count	Frequency (%)
.	14952	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44856	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14952	33.3%
0	14952	33.3%
5	6605	14.7%
4	3888	8.7%
3	1823	4.1%
1	1319	2.9%
2	1317	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44856	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14952	33.3%
0	14952	33.3%
5	6605	14.7%
4	3888	8.7%
3	1823	4.1%
1	1319	2.9%
2	1317	2.9%

Q9
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	56
Missing (%)	0.4%
Memory size	117.3 KiB

5.0	5627
4.0	4892
3.0	2620
2.0	1144
1.0	661

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44832
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	3.0
3rd row	4.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
5.0	5627	37.5%
4.0	4892	32.6%
3.0	2620	17.5%
2.0	1144	7.6%
1.0	661	4.4%
(Missing)	56	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	5627	37.7%
4.0	4892	32.7%
3.0	2620	17.5%
2.0	1144	7.7%
1.0	661	4.4%

Most occurring characters

Value	Count	Frequency (%)
.	14944	33.3%
0	14944	33.3%
5	5627	12.6%
4	4892	10.9%
3	2620	5.8%
2	1144	2.6%
1	661	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29888	66.7%
Other Punctuation	14944	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14944	50.0%
5	5627	18.8%
4	4892	16.4%
3	2620	8.8%
2	1144	3.8%
1	661	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	14944	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44832	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14944	33.3%
0	14944	33.3%
5	5627	12.6%
4	4892	10.9%
3	2620	5.8%
2	1144	2.6%
1	661	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44832	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14944	33.3%
0	14944	33.3%
5	5627	12.6%
4	4892	10.9%
3	2620	5.8%
2	1144	2.6%
1	661	1.5%

Q10
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	72
Missing (%)	0.5%
Memory size	117.3 KiB

5.0	6983
4.0	4265
3.0	2501
2.0	706
1.0	473

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44784
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	3.0
3rd row	4.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	6983	46.6%
4.0	4265	28.4%
3.0	2501	16.7%
2.0	706	4.7%
1.0	473	3.2%
(Missing)	72	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	6983	46.8%
4.0	4265	28.6%
3.0	2501	16.8%
2.0	706	4.7%
1.0	473	3.2%

Most occurring characters

Value	Count	Frequency (%)
.	14928	33.3%
0	14928	33.3%
5	6983	15.6%
4	4265	9.5%
3	2501	5.6%
2	706	1.6%
1	473	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29856	66.7%
Other Punctuation	14928	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14928	50.0%
5	6983	23.4%
4	4265	14.3%
3	2501	8.4%
2	706	2.4%
1	473	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	14928	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44784	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14928	33.3%
0	14928	33.3%
5	6983	15.6%
4	4265	9.5%
3	2501	5.6%
2	706	1.6%
1	473	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44784	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14928	33.3%
0	14928	33.3%
5	6983	15.6%
4	4265	9.5%
3	2501	5.6%
2	706	1.6%
1	473	1.1%

Q11
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	59
Missing (%)	0.4%
Memory size	117.3 KiB

5.0	4280
1.0	3863
4.0	2740
3.0	2328
2.0	1730

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44823
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	1.0
3rd row	2.0
4th row	5.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	4280	28.5%
1.0	3863	25.8%
4.0	2740	18.3%
3.0	2328	15.5%
2.0	1730	11.5%
(Missing)	59	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	4280	28.6%
1.0	3863	25.9%
4.0	2740	18.3%
3.0	2328	15.6%
2.0	1730	11.6%

Most occurring characters

Value	Count	Frequency (%)
.	14941	33.3%
0	14941	33.3%
5	4280	9.5%
1	3863	8.6%
4	2740	6.1%
3	2328	5.2%
2	1730	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29882	66.7%
Other Punctuation	14941	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14941	50.0%
5	4280	14.3%
1	3863	12.9%
4	2740	9.2%
3	2328	7.8%
2	1730	5.8%

Other Punctuation

Value	Count	Frequency (%)
.	14941	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44823	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14941	33.3%
0	14941	33.3%
5	4280	9.5%
1	3863	8.6%
4	2740	6.1%
3	2328	5.2%
2	1730	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44823	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14941	33.3%
0	14941	33.3%
5	4280	9.5%
1	3863	8.6%
4	2740	6.1%
3	2328	5.2%
2	1730	3.9%

Q12
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	67
Missing (%)	0.4%
Memory size	117.3 KiB

5.0	5421
4.0	4749
3.0	2181
2.0	1502
1.0	1080

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44799
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	5.0
4th row	2.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	5421	36.1%
4.0	4749	31.7%
3.0	2181	14.5%
2.0	1502	10.0%
1.0	1080	7.2%
(Missing)	67	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	5421	36.3%
4.0	4749	31.8%
3.0	2181	14.6%
2.0	1502	10.1%
1.0	1080	7.2%

Most occurring characters

Value	Count	Frequency (%)
.	14933	33.3%
0	14933	33.3%
5	5421	12.1%
4	4749	10.6%
3	2181	4.9%
2	1502	3.4%
1	1080	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29866	66.7%
Other Punctuation	14933	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14933	50.0%
5	5421	18.2%
4	4749	15.9%
3	2181	7.3%
2	1502	5.0%
1	1080	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	14933	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44799	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14933	33.3%
0	14933	33.3%
5	5421	12.1%
4	4749	10.6%
3	2181	4.9%
2	1502	3.4%
1	1080	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14933	33.3%
0	14933	33.3%
5	5421	12.1%
4	4749	10.6%
3	2181	4.9%
2	1502	3.4%
1	1080	2.4%

Q13
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	40
Missing (%)	0.3%
Memory size	117.3 KiB

5.0	5816
4.0	3226
3.0	2864
2.0	1743
1.0	1311

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44880
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	5.0
3rd row	5.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
5.0	5816	38.8%
4.0	3226	21.5%
3.0	2864	19.1%
2.0	1743	11.6%
1.0	1311	8.7%
(Missing)	40	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	5816	38.9%
4.0	3226	21.6%
3.0	2864	19.1%
2.0	1743	11.7%
1.0	1311	8.8%

Most occurring characters

Value	Count	Frequency (%)
.	14960	33.3%
0	14960	33.3%
5	5816	13.0%
4	3226	7.2%
3	2864	6.4%
2	1743	3.9%
1	1311	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29920	66.7%
Other Punctuation	14960	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14960	50.0%
5	5816	19.4%
4	3226	10.8%
3	2864	9.6%
2	1743	5.8%
1	1311	4.4%

Other Punctuation

Value	Count	Frequency (%)
.	14960	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44880	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14960	33.3%
0	14960	33.3%
5	5816	13.0%
4	3226	7.2%
3	2864	6.4%
2	1743	3.9%
1	1311	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44880	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14960	33.3%
0	14960	33.3%
5	5816	13.0%
4	3226	7.2%
3	2864	6.4%
2	1743	3.9%
1	1311	2.9%

Q14
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	36
Missing (%)	0.2%
Memory size	117.3 KiB

5.0	4796
4.0	4332
3.0	3423
2.0	1730
1.0	683

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44892
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	3.0
3rd row	5.0
4th row	4.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
5.0	4796	32.0%
4.0	4332	28.9%
3.0	3423	22.8%
2.0	1730	11.5%
1.0	683	4.6%
(Missing)	36	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	4796	32.1%
4.0	4332	28.9%
3.0	3423	22.9%
2.0	1730	11.6%
1.0	683	4.6%

Most occurring characters

Value	Count	Frequency (%)
.	14964	33.3%
0	14964	33.3%
5	4796	10.7%
4	4332	9.6%
3	3423	7.6%
2	1730	3.9%
1	683	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29928	66.7%
Other Punctuation	14964	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14964	50.0%
5	4796	16.0%
4	4332	14.5%
3	3423	11.4%
2	1730	5.8%
1	683	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	14964	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44892	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14964	33.3%
0	14964	33.3%
5	4796	10.7%
4	4332	9.6%
3	3423	7.6%
2	1730	3.9%
1	683	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44892	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14964	33.3%
0	14964	33.3%
5	4796	10.7%
4	4332	9.6%
3	3423	7.6%
2	1730	3.9%
1	683	1.5%

Q15
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	45
Missing (%)	0.3%
Memory size	117.3 KiB

1.0	3775
5.0	3476
4.0	3115
3.0	2388
2.0	2201

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44865
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	1.0
3rd row	1.0
4th row	4.0
5th row	5.0

Common Values

Value	Count	Frequency (%)
1.0	3775	25.2%
5.0	3476	23.2%
4.0	3115	20.8%
3.0	2388	15.9%
2.0	2201	14.7%
(Missing)	45	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	3775	25.2%
5.0	3476	23.2%
4.0	3115	20.8%
3.0	2388	16.0%
2.0	2201	14.7%

Most occurring characters

Value	Count	Frequency (%)
.	14955	33.3%
0	14955	33.3%
1	3775	8.4%
5	3476	7.7%
4	3115	6.9%
3	2388	5.3%
2	2201	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29910	66.7%
Other Punctuation	14955	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14955	50.0%
1	3775	12.6%
5	3476	11.6%
4	3115	10.4%
3	2388	8.0%
2	2201	7.4%

Other Punctuation

Value	Count	Frequency (%)
.	14955	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44865	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14955	33.3%
0	14955	33.3%
1	3775	8.4%
5	3476	7.7%
4	3115	6.9%
3	2388	5.3%
2	2201	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44865	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14955	33.3%
0	14955	33.3%
1	3775	8.4%
5	3476	7.7%
4	3115	6.9%
3	2388	5.3%
2	2201	4.9%

Q16
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	33
Missing (%)	0.2%
Memory size	117.3 KiB

5.0	4807
3.0	3028
4.0	2965
2.0	2245
1.0	1922

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44901
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	2.0
3rd row	3.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
5.0	4807	32.0%
3.0	3028	20.2%
4.0	2965	19.8%
2.0	2245	15.0%
1.0	1922	12.8%
(Missing)	33	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	4807	32.1%
3.0	3028	20.2%
4.0	2965	19.8%
2.0	2245	15.0%
1.0	1922	12.8%

Most occurring characters

Value	Count	Frequency (%)
.	14967	33.3%
0	14967	33.3%
5	4807	10.7%
3	3028	6.7%
4	2965	6.6%
2	2245	5.0%
1	1922	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29934	66.7%
Other Punctuation	14967	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14967	50.0%
5	4807	16.1%
3	3028	10.1%
4	2965	9.9%
2	2245	7.5%
1	1922	6.4%

Other Punctuation

Value	Count	Frequency (%)
.	14967	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44901	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14967	33.3%
0	14967	33.3%
5	4807	10.7%
3	3028	6.7%
4	2965	6.6%
2	2245	5.0%
1	1922	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44901	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14967	33.3%
0	14967	33.3%
5	4807	10.7%
3	3028	6.7%
4	2965	6.6%
2	2245	5.0%
1	1922	4.3%

Q17
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	37
Missing (%)	0.2%
Memory size	117.3 KiB

5.0	6138
4.0	4346
3.0	2509
2.0	1400
1.0	570

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44889
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	4.0
3rd row	5.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	6138	40.9%
4.0	4346	29.0%
3.0	2509	16.7%
2.0	1400	9.3%
1.0	570	3.8%
(Missing)	37	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	6138	41.0%
4.0	4346	29.0%
3.0	2509	16.8%
2.0	1400	9.4%
1.0	570	3.8%

Most occurring characters

Value	Count	Frequency (%)
.	14963	33.3%
0	14963	33.3%
5	6138	13.7%
4	4346	9.7%
3	2509	5.6%
2	1400	3.1%
1	570	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29926	66.7%
Other Punctuation	14963	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14963	50.0%
5	6138	20.5%
4	4346	14.5%
3	2509	8.4%
2	1400	4.7%
1	570	1.9%

Other Punctuation

Value	Count	Frequency (%)
.	14963	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44889	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14963	33.3%
0	14963	33.3%
5	6138	13.7%
4	4346	9.7%
3	2509	5.6%
2	1400	3.1%
1	570	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44889	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14963	33.3%
0	14963	33.3%
5	6138	13.7%
4	4346	9.7%
3	2509	5.6%
2	1400	3.1%
1	570	1.3%

Q18
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	63
Missing (%)	0.4%
Memory size	117.3 KiB

5.0	7010
4.0	3437
3.0	1969
1.0	1441
2.0	1080

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44811
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	5.0
3rd row	3.0
4th row	5.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
5.0	7010	46.7%
4.0	3437	22.9%
3.0	1969	13.1%
1.0	1441	9.6%
2.0	1080	7.2%
(Missing)	63	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	7010	46.9%
4.0	3437	23.0%
3.0	1969	13.2%
1.0	1441	9.6%
2.0	1080	7.2%

Most occurring characters

Value	Count	Frequency (%)
.	14937	33.3%
0	14937	33.3%
5	7010	15.6%
4	3437	7.7%
3	1969	4.4%
1	1441	3.2%
2	1080	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29874	66.7%
Other Punctuation	14937	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14937	50.0%
5	7010	23.5%
4	3437	11.5%
3	1969	6.6%
1	1441	4.8%
2	1080	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	14937	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44811	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14937	33.3%
0	14937	33.3%
5	7010	15.6%
4	3437	7.7%
3	1969	4.4%
1	1441	3.2%
2	1080	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44811	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14937	33.3%
0	14937	33.3%
5	7010	15.6%
4	3437	7.7%
3	1969	4.4%
1	1441	3.2%
2	1080	2.4%

Q19
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	53
Missing (%)	0.4%
Memory size	117.3 KiB

5.0	5413
1.0	2901
4.0	2725
2.0	1983
3.0	1925

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44841
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	1.0
3rd row	5.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	5413	36.1%
1.0	2901	19.3%
4.0	2725	18.2%
2.0	1983	13.2%
3.0	1925	12.8%
(Missing)	53	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	5413	36.2%
1.0	2901	19.4%
4.0	2725	18.2%
2.0	1983	13.3%
3.0	1925	12.9%

Most occurring characters

Value	Count	Frequency (%)
.	14947	33.3%
0	14947	33.3%
5	5413	12.1%
1	2901	6.5%
4	2725	6.1%
2	1983	4.4%
3	1925	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29894	66.7%
Other Punctuation	14947	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14947	50.0%
5	5413	18.1%
1	2901	9.7%
4	2725	9.1%
2	1983	6.6%
3	1925	6.4%

Other Punctuation

Value	Count	Frequency (%)
.	14947	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44841	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14947	33.3%
0	14947	33.3%
5	5413	12.1%
1	2901	6.5%
4	2725	6.1%
2	1983	4.4%
3	1925	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44841	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14947	33.3%
0	14947	33.3%
5	5413	12.1%
1	2901	6.5%
4	2725	6.1%
2	1983	4.4%
3	1925	4.3%

Q20
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	45
Missing (%)	0.3%
Memory size	117.3 KiB

5.0	4698
4.0	3891
3.0	3877
2.0	1771
1.0	718

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44865
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	3.0
3rd row	2.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
5.0	4698	31.3%
4.0	3891	25.9%
3.0	3877	25.8%
2.0	1771	11.8%
1.0	718	4.8%
(Missing)	45	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	4698	31.4%
4.0	3891	26.0%
3.0	3877	25.9%
2.0	1771	11.8%
1.0	718	4.8%

Most occurring characters

Value	Count	Frequency (%)
.	14955	33.3%
0	14955	33.3%
5	4698	10.5%
4	3891	8.7%
3	3877	8.6%
2	1771	3.9%
1	718	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29910	66.7%
Other Punctuation	14955	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14955	50.0%
5	4698	15.7%
4	3891	13.0%
3	3877	13.0%
2	1771	5.9%
1	718	2.4%

Other Punctuation

Value	Count	Frequency (%)
.	14955	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44865	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14955	33.3%
0	14955	33.3%
5	4698	10.5%
4	3891	8.7%
3	3877	8.6%
2	1771	3.9%
1	718	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44865	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14955	33.3%
0	14955	33.3%
5	4698	10.5%
4	3891	8.7%
3	3877	8.6%
2	1771	3.9%
1	718	1.6%

Q21
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	39
Missing (%)	0.3%
Memory size	117.3 KiB

1.0	4591
5.0	3893
4.0	2882
2.0	1959
3.0	1636

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44883
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	3.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
1.0	4591	30.6%
5.0	3893	26.0%
4.0	2882	19.2%
2.0	1959	13.1%
3.0	1636	10.9%
(Missing)	39	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	4591	30.7%
5.0	3893	26.0%
4.0	2882	19.3%
2.0	1959	13.1%
3.0	1636	10.9%

Most occurring characters

Value	Count	Frequency (%)
.	14961	33.3%
0	14961	33.3%
1	4591	10.2%
5	3893	8.7%
4	2882	6.4%
2	1959	4.4%
3	1636	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29922	66.7%
Other Punctuation	14961	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14961	50.0%
1	4591	15.3%
5	3893	13.0%
4	2882	9.6%
2	1959	6.5%
3	1636	5.5%

Other Punctuation

Value	Count	Frequency (%)
.	14961	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44883	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14961	33.3%
0	14961	33.3%
1	4591	10.2%
5	3893	8.7%
4	2882	6.4%
2	1959	4.4%
3	1636	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44883	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14961	33.3%
0	14961	33.3%
1	4591	10.2%
5	3893	8.7%
4	2882	6.4%
2	1959	4.4%
3	1636	3.6%

Q22
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	38
Missing (%)	0.3%
Memory size	117.3 KiB

1.0	5272
2.0	3560
3.0	2560
4.0	1821
5.0	1749

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44886
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	1.0
3rd row	1.0
4th row	4.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	5272	35.1%
2.0	3560	23.7%
3.0	2560	17.1%
4.0	1821	12.1%
5.0	1749	11.7%
(Missing)	38	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	5272	35.2%
2.0	3560	23.8%
3.0	2560	17.1%
4.0	1821	12.2%
5.0	1749	11.7%

Most occurring characters

Value	Count	Frequency (%)
.	14962	33.3%
0	14962	33.3%
1	5272	11.7%
2	3560	7.9%
3	2560	5.7%
4	1821	4.1%
5	1749	3.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29924	66.7%
Other Punctuation	14962	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14962	50.0%
1	5272	17.6%
2	3560	11.9%
3	2560	8.6%
4	1821	6.1%
5	1749	5.8%

Other Punctuation

Value	Count	Frequency (%)
.	14962	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44886	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14962	33.3%
0	14962	33.3%
1	5272	11.7%
2	3560	7.9%
3	2560	5.7%
4	1821	4.1%
5	1749	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44886	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14962	33.3%
0	14962	33.3%
1	5272	11.7%
2	3560	7.9%
3	2560	5.7%
4	1821	4.1%
5	1749	3.9%

Q23
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	50
Missing (%)	0.3%
Memory size	117.3 KiB

5.0	6756
4.0	3498
3.0	1708
1.0	1532
2.0	1456

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44850
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	5.0
3rd row	2.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
5.0	6756	45.0%
4.0	3498	23.3%
3.0	1708	11.4%
1.0	1532	10.2%
2.0	1456	9.7%
(Missing)	50	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	6756	45.2%
4.0	3498	23.4%
3.0	1708	11.4%
1.0	1532	10.2%
2.0	1456	9.7%

Most occurring characters

Value	Count	Frequency (%)
.	14950	33.3%
0	14950	33.3%
5	6756	15.1%
4	3498	7.8%
3	1708	3.8%
1	1532	3.4%
2	1456	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29900	66.7%
Other Punctuation	14950	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14950	50.0%
5	6756	22.6%
4	3498	11.7%
3	1708	5.7%
1	1532	5.1%
2	1456	4.9%

Other Punctuation

Value	Count	Frequency (%)
.	14950	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44850	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14950	33.3%
0	14950	33.3%
5	6756	15.1%
4	3498	7.8%
3	1708	3.8%
1	1532	3.4%
2	1456	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14950	33.3%
0	14950	33.3%
5	6756	15.1%
4	3498	7.8%
3	1708	3.8%
1	1532	3.4%
2	1456	3.2%

Q24
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	61
Missing (%)	0.4%
Memory size	117.3 KiB

5.0	7792
4.0	4896
3.0	1433
2.0	528
1.0	290

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44817
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	3.0
3rd row	4.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	7792	51.9%
4.0	4896	32.6%
3.0	1433	9.6%
2.0	528	3.5%
1.0	290	1.9%
(Missing)	61	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	7792	52.2%
4.0	4896	32.8%
3.0	1433	9.6%
2.0	528	3.5%
1.0	290	1.9%

Most occurring characters

Value	Count	Frequency (%)
.	14939	33.3%
0	14939	33.3%
5	7792	17.4%
4	4896	10.9%
3	1433	3.2%
2	528	1.2%
1	290	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29878	66.7%
Other Punctuation	14939	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14939	50.0%
5	7792	26.1%
4	4896	16.4%
3	1433	4.8%
2	528	1.8%
1	290	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	14939	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44817	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14939	33.3%
0	14939	33.3%
5	7792	17.4%
4	4896	10.9%
3	1433	3.2%
2	528	1.2%
1	290	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44817	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14939	33.3%
0	14939	33.3%
5	7792	17.4%
4	4896	10.9%
3	1433	3.2%
2	528	1.2%
1	290	0.6%

Q25
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	44
Missing (%)	0.3%
Memory size	117.3 KiB

4.0	3782
5.0	3080
3.0	2875
2.0	2761
1.0	2458

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44868
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	2.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
4.0	3782	25.2%
5.0	3080	20.5%
3.0	2875	19.2%
2.0	2761	18.4%
1.0	2458	16.4%
(Missing)	44	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
4.0	3782	25.3%
5.0	3080	20.6%
3.0	2875	19.2%
2.0	2761	18.5%
1.0	2458	16.4%

Most occurring characters

Value	Count	Frequency (%)
.	14956	33.3%
0	14956	33.3%
4	3782	8.4%
5	3080	6.9%
3	2875	6.4%
2	2761	6.2%
1	2458	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29912	66.7%
Other Punctuation	14956	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14956	50.0%
4	3782	12.6%
5	3080	10.3%
3	2875	9.6%
2	2761	9.2%
1	2458	8.2%

Other Punctuation

Value	Count	Frequency (%)
.	14956	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44868	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14956	33.3%
0	14956	33.3%
4	3782	8.4%
5	3080	6.9%
3	2875	6.4%
2	2761	6.2%
1	2458	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44868	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14956	33.3%
0	14956	33.3%
4	3782	8.4%
5	3080	6.9%
3	2875	6.4%
2	2761	6.2%
1	2458	5.5%

Q26
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	68
Missing (%)	0.5%
Memory size	117.3 KiB

5.0	7271
4.0	4465
3.0	1918
2.0	892
1.0	386

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44796
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	5.0
3rd row	5.0
4th row	2.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
5.0	7271	48.5%
4.0	4465	29.8%
3.0	1918	12.8%
2.0	892	5.9%
1.0	386	2.6%
(Missing)	68	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
5.0	7271	48.7%
4.0	4465	29.9%
3.0	1918	12.8%
2.0	892	6.0%
1.0	386	2.6%

Most occurring characters

Value	Count	Frequency (%)
.	14932	33.3%
0	14932	33.3%
5	7271	16.2%
4	4465	10.0%
3	1918	4.3%
2	892	2.0%
1	386	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29864	66.7%
Other Punctuation	14932	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14932	50.0%
5	7271	24.3%
4	4465	15.0%
3	1918	6.4%
2	892	3.0%
1	386	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	14932	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44796	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14932	33.3%
0	14932	33.3%
5	7271	16.2%
4	4465	10.0%
3	1918	4.3%
2	892	2.0%
1	386	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44796	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14932	33.3%
0	14932	33.3%
5	7271	16.2%
4	4465	10.0%
3	1918	4.3%
2	892	2.0%
1	386	0.9%

country
Categorical

HIGH CARDINALITY
MISSING

Distinct	137
Distinct (%)	0.9%
Missing	190
Missing (%)	1.3%
Memory size	117.3 KiB

USA	7419
GBR	1109
CAN	915
AUS	525
DEU	473
Other values (132)	4369

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44430
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	0.2%

Sample

1st row	USA
2nd row	USA
3rd row	NLD
4th row	USA
5th row	ITA

Common Values

Value	Count	Frequency (%)
USA	7419	49.5%
GBR	1109	7.4%
CAN	915	6.1%
AUS	525	3.5%
DEU	473	3.2%
PHL	261	1.7%
BRA	240	1.6%
IND	233	1.6%
POL	210	1.4%
FRA	208	1.4%
Other values (127)	3217	21.4%
(Missing)	190	1.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usa	7419	50.1%
gbr	1109	7.5%
can	915	6.2%
aus	525	3.5%
deu	473	3.2%
phl	261	1.8%
bra	240	1.6%
ind	233	1.6%
pol	210	1.4%
fra	208	1.4%
Other values (127)	3217	21.7%

Most occurring characters

Value	Count	Frequency (%)
A	9845	22.2%
U	8829	19.9%
S	8648	19.5%
R	2484	5.6%
N	2112	4.8%
B	1519	3.4%
G	1446	3.3%
C	1176	2.6%
E	1128	2.5%
D	1117	2.5%
Other values (16)	6126	13.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	44430	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	9845	22.2%
U	8829	19.9%
S	8648	19.5%
R	2484	5.6%
N	2112	4.8%
B	1519	3.4%
G	1446	3.3%
C	1176	2.6%
E	1128	2.5%
D	1117	2.5%
Other values (16)	6126	13.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44430	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	9845	22.2%
U	8829	19.9%
S	8648	19.5%
R	2484	5.6%
N	2112	4.8%
B	1519	3.4%
G	1446	3.3%
C	1176	2.6%
E	1128	2.5%
D	1117	2.5%
Other values (16)	6126	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	9845	22.2%
U	8829	19.9%
S	8648	19.5%
R	2484	5.6%
N	2112	4.8%
B	1519	3.4%
G	1446	3.3%
C	1176	2.6%
E	1128	2.5%
D	1117	2.5%
Other values (16)	6126	13.8%

introelapse
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED

Distinct	1315
Distinct (%)	8.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	767.1377333

Minimum	1
Maximum	855030
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	10
Q3	36
95-th percentile	976
Maximum	855030
Range	855029
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	13835.94804
Coefficient of variation (CV)	18.03580692
Kurtosis	2797.753594
Mean	767.1377333
Median Absolute Deviation (MAD)	8
Skewness	48.40398766
Sum	11507066
Variance	191433458.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	1656	11.0%
3	1458	9.7%
4	1030	6.9%
5	691	4.6%
6	572	3.8%
7	485	3.2%
8	463	3.1%
1	429	2.9%
9	429	2.9%
10	376	2.5%
Other values (1305)	7411	49.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	429	2.9%
2	1656	11.0%
3	1458	9.7%
4	1030	6.9%
5	691	4.6%
6	572	3.8%
7	485	3.2%
8	463	3.1%
9	429	2.9%
10	376	2.5%

Value	Count	Frequency (%)
855030	2	< 0.1%
817147	1	< 0.1%
285418	2	< 0.1%
258417	2	< 0.1%
233095	1	< 0.1%
190936	1	< 0.1%
148457	2	< 0.1%
135006	1	< 0.1%
133690	1	< 0.1%
123210	2	< 0.1%

testelapse
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	684
Distinct (%)	4.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	387.9656667

Minimum	1
Maximum	474572
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	1
5-th percentile	60
Q1	82
median	106
Q3	140
95-th percentile	290
Maximum	474572
Range	474571
Interquartile range (IQR)	58

Descriptive statistics

Standard deviation	8513.03161
Coefficient of variation (CV)	21.94274479
Kurtosis	2135.513955
Mean	387.9656667
Median Absolute Deviation (MAD)	27
Skewness	44.46473054
Sum	5819485
Variance	72471707.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
82	187	1.2%
80	179	1.2%
104	177	1.2%
87	171	1.1%
106	170	1.1%
94	169	1.1%
98	169	1.1%
95	167	1.1%
74	166	1.1%
89	166	1.1%
Other values (674)	13279	88.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
4	2	< 0.1%
25	1	< 0.1%
30	4	< 0.1%
32	3	< 0.1%
33	1	< 0.1%
34	1	< 0.1%
35	2	< 0.1%
36	1	< 0.1%
37	3	< 0.1%

Value	Count	Frequency (%)
474572	2	< 0.1%
407208	1	< 0.1%
374744	1	< 0.1%
285399	2	< 0.1%
240022	2	< 0.1%
127962	1	< 0.1%
92594	1	< 0.1%
92462	1	< 0.1%
71644	1	< 0.1%
61544	1	< 0.1%

surveyelapse
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED

Distinct	712
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2787.958533

Minimum	3
Maximum	15166994
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	3
5-th percentile	89
Q1	126
median	164
Q3	217
95-th percentile	381
Maximum	15166994
Range	15166991
Interquartile range (IQR)	91

Descriptive statistics

Standard deviation	178595.4557
Coefficient of variation (CV)	64.05958109
Kurtosis	6941.824191
Mean	2787.958533
Median Absolute Deviation (MAD)	43
Skewness	82.28836108
Sum	41819378
Variance	3.189633681 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
161	130	0.9%
142	128	0.9%
115	118	0.8%
143	116	0.8%
154	116	0.8%
146	115	0.8%
151	114	0.8%
118	112	0.7%
139	111	0.7%
133	110	0.7%
Other values (702)	13830	92.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
4	4	< 0.1%
5	5	< 0.1%
6	5	< 0.1%
8	3	< 0.1%
9	2	< 0.1%
10	1	< 0.1%
11	2	< 0.1%
13	1	< 0.1%
23	1	< 0.1%

Value	Count	Frequency (%)
15166994	2	< 0.1%
3420008	1	< 0.1%
2513542	1	< 0.1%
474940	1	< 0.1%
195932	1	< 0.1%
175836	2	< 0.1%
173410	1	< 0.1%
134393	1	< 0.1%
89824	1	< 0.1%
80810	1	< 0.1%

TIPI1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	53
Missing (%)	0.4%
Memory size	117.3 KiB

3.0	5414
2.0	3451
1.0	3098
4.0	1954
5.0	1030

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44841
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	4.0
3rd row	1.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	5414	36.1%
2.0	3451	23.0%
1.0	3098	20.7%
4.0	1954	13.0%
5.0	1030	6.9%
(Missing)	53	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	5414	36.2%
2.0	3451	23.1%
1.0	3098	20.7%
4.0	1954	13.1%
5.0	1030	6.9%

Most occurring characters

Value	Count	Frequency (%)
.	14947	33.3%
0	14947	33.3%
3	5414	12.1%
2	3451	7.7%
1	3098	6.9%
4	1954	4.4%
5	1030	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29894	66.7%
Other Punctuation	14947	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14947	50.0%
3	5414	18.1%
2	3451	11.5%
1	3098	10.4%
4	1954	6.5%
5	1030	3.4%

Other Punctuation

Value	Count	Frequency (%)
.	14947	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44841	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14947	33.3%
0	14947	33.3%
3	5414	12.1%
2	3451	7.7%
1	3098	6.9%
4	1954	4.4%
5	1030	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44841	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14947	33.3%
0	14947	33.3%
3	5414	12.1%
2	3451	7.7%
1	3098	6.9%
4	1954	4.4%
5	1030	2.3%

TIPI2
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	66
Missing (%)	0.4%
Memory size	117.3 KiB

3.0	7062
4.0	2932
2.0	1969
1.0	1586
5.0	1385

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44802
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	2.0
3rd row	2.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	7062	47.1%
4.0	2932	19.5%
2.0	1969	13.1%
1.0	1586	10.6%
5.0	1385	9.2%
(Missing)	66	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	7062	47.3%
4.0	2932	19.6%
2.0	1969	13.2%
1.0	1586	10.6%
5.0	1385	9.3%

Most occurring characters

Value	Count	Frequency (%)
.	14934	33.3%
0	14934	33.3%
3	7062	15.8%
4	2932	6.5%
2	1969	4.4%
1	1586	3.5%
5	1385	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29868	66.7%
Other Punctuation	14934	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14934	50.0%
3	7062	23.6%
4	2932	9.8%
2	1969	6.6%
1	1586	5.3%
5	1385	4.6%

Other Punctuation

Value	Count	Frequency (%)
.	14934	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44802	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14934	33.3%
0	14934	33.3%
3	7062	15.8%
4	2932	6.5%
2	1969	4.4%
1	1586	3.5%
5	1385	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44802	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14934	33.3%
0	14934	33.3%
3	7062	15.8%
4	2932	6.5%
2	1969	4.4%
1	1586	3.5%
5	1385	3.1%

TIPI3
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	79
Missing (%)	0.5%
Memory size	117.3 KiB

3.0	6500
4.0	4020
5.0	2644
2.0	1161
1.0	596

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44763
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	3.0
3rd row	3.0
4th row	3.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
3.0	6500	43.3%
4.0	4020	26.8%
5.0	2644	17.6%
2.0	1161	7.7%
1.0	596	4.0%
(Missing)	79	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	6500	43.6%
4.0	4020	26.9%
5.0	2644	17.7%
2.0	1161	7.8%
1.0	596	4.0%

Most occurring characters

Value	Count	Frequency (%)
.	14921	33.3%
0	14921	33.3%
3	6500	14.5%
4	4020	9.0%
5	2644	5.9%
2	1161	2.6%
1	596	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29842	66.7%
Other Punctuation	14921	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14921	50.0%
3	6500	21.8%
4	4020	13.5%
5	2644	8.9%
2	1161	3.9%
1	596	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	14921	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44763	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14921	33.3%
0	14921	33.3%
3	6500	14.5%
4	4020	9.0%
5	2644	5.9%
2	1161	2.6%
1	596	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44763	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14921	33.3%
0	14921	33.3%
3	6500	14.5%
4	4020	9.0%
5	2644	5.9%
2	1161	2.6%
1	596	1.3%

TIPI4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	64
Missing (%)	0.4%
Memory size	117.3 KiB

3.0	5923
4.0	2993
5.0	2849
2.0	1763
1.0	1408

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44808
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	5.0
3rd row	1.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
3.0	5923	39.5%
4.0	2993	20.0%
5.0	2849	19.0%
2.0	1763	11.8%
1.0	1408	9.4%
(Missing)	64	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	5923	39.7%
4.0	2993	20.0%
5.0	2849	19.1%
2.0	1763	11.8%
1.0	1408	9.4%

Most occurring characters

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	5923	13.2%
4	2993	6.7%
5	2849	6.4%
2	1763	3.9%
1	1408	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29872	66.7%
Other Punctuation	14936	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14936	50.0%
3	5923	19.8%
4	2993	10.0%
5	2849	9.5%
2	1763	5.9%
1	1408	4.7%

Other Punctuation

Value	Count	Frequency (%)
.	14936	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44808	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	5923	13.2%
4	2993	6.7%
5	2849	6.4%
2	1763	3.9%
1	1408	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44808	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	5923	13.2%
4	2993	6.7%
5	2849	6.4%
2	1763	3.9%
1	1408	3.1%

TIPI5
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	70
Missing (%)	0.5%
Memory size	117.3 KiB

3.0	5137
4.0	4653
5.0	4565
2.0	447
1.0	128

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44790
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	3.0
3rd row	5.0
4th row	5.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
3.0	5137	34.2%
4.0	4653	31.0%
5.0	4565	30.4%
2.0	447	3.0%
1.0	128	0.9%
(Missing)	70	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	5137	34.4%
4.0	4653	31.2%
5.0	4565	30.6%
2.0	447	3.0%
1.0	128	0.9%

Most occurring characters

Value	Count	Frequency (%)
.	14930	33.3%
0	14930	33.3%
3	5137	11.5%
4	4653	10.4%
5	4565	10.2%
2	447	1.0%
1	128	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29860	66.7%
Other Punctuation	14930	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14930	50.0%
3	5137	17.2%
4	4653	15.6%
5	4565	15.3%
2	447	1.5%
1	128	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	14930	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44790	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14930	33.3%
0	14930	33.3%
3	5137	11.5%
4	4653	10.4%
5	4565	10.2%
2	447	1.0%
1	128	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44790	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14930	33.3%
0	14930	33.3%
3	5137	11.5%
4	4653	10.4%
5	4565	10.2%
2	447	1.0%
1	128	0.3%

TIPI6
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	62
Missing (%)	0.4%
Memory size	117.3 KiB

3.0	5264
5.0	4483
4.0	3571
2.0	895
1.0	725

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44814
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	2.0
3rd row	5.0
4th row	3.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
3.0	5264	35.1%
5.0	4483	29.9%
4.0	3571	23.8%
2.0	895	6.0%
1.0	725	4.8%
(Missing)	62	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	5264	35.2%
5.0	4483	30.0%
4.0	3571	23.9%
2.0	895	6.0%
1.0	725	4.9%

Most occurring characters

Value	Count	Frequency (%)
.	14938	33.3%
0	14938	33.3%
3	5264	11.7%
5	4483	10.0%
4	3571	8.0%
2	895	2.0%
1	725	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29876	66.7%
Other Punctuation	14938	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14938	50.0%
3	5264	17.6%
5	4483	15.0%
4	3571	12.0%
2	895	3.0%
1	725	2.4%

Other Punctuation

Value	Count	Frequency (%)
.	14938	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44814	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14938	33.3%
0	14938	33.3%
3	5264	11.7%
5	4483	10.0%
4	3571	8.0%
2	895	2.0%
1	725	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44814	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14938	33.3%
0	14938	33.3%
3	5264	11.7%
5	4483	10.0%
4	3571	8.0%
2	895	2.0%
1	725	1.6%

TIPI7
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	64
Missing (%)	0.4%
Memory size	117.3 KiB

3.0	6403
4.0	3793
5.0	3134
2.0	1055
1.0	551

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44808
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	5.0
3rd row	3.0
4th row	4.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	6403	42.7%
4.0	3793	25.3%
5.0	3134	20.9%
2.0	1055	7.0%
1.0	551	3.7%
(Missing)	64	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	6403	42.9%
4.0	3793	25.4%
5.0	3134	21.0%
2.0	1055	7.1%
1.0	551	3.7%

Most occurring characters

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	6403	14.3%
4	3793	8.5%
5	3134	7.0%
2	1055	2.4%
1	551	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29872	66.7%
Other Punctuation	14936	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14936	50.0%
3	6403	21.4%
4	3793	12.7%
5	3134	10.5%
2	1055	3.5%
1	551	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	14936	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44808	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	6403	14.3%
4	3793	8.5%
5	3134	7.0%
2	1055	2.4%
1	551	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44808	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	6403	14.3%
4	3793	8.5%
5	3134	7.0%
2	1055	2.4%
1	551	1.2%

TIPI8
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	65
Missing (%)	0.4%
Memory size	117.3 KiB

3.0	6664
4.0	2476
2.0	2066
5.0	1908
1.0	1821

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44805
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	1.0
3rd row	4.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
3.0	6664	44.4%
4.0	2476	16.5%
2.0	2066	13.8%
5.0	1908	12.7%
1.0	1821	12.1%
(Missing)	65	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	6664	44.6%
4.0	2476	16.6%
2.0	2066	13.8%
5.0	1908	12.8%
1.0	1821	12.2%

Most occurring characters

Value	Count	Frequency (%)
.	14935	33.3%
0	14935	33.3%
3	6664	14.9%
4	2476	5.5%
2	2066	4.6%
5	1908	4.3%
1	1821	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29870	66.7%
Other Punctuation	14935	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14935	50.0%
3	6664	22.3%
4	2476	8.3%
2	2066	6.9%
5	1908	6.4%
1	1821	6.1%

Other Punctuation

Value	Count	Frequency (%)
.	14935	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44805	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14935	33.3%
0	14935	33.3%
3	6664	14.9%
4	2476	5.5%
2	2066	4.6%
5	1908	4.3%
1	1821	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44805	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14935	33.3%
0	14935	33.3%
3	6664	14.9%
4	2476	5.5%
2	2066	4.6%
5	1908	4.3%
1	1821	4.1%

TIPI9
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	64
Missing (%)	0.4%
Memory size	117.3 KiB

3.0	6927
4.0	2927
2.0	1952
5.0	1924
1.0	1206

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44808
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5.0
2nd row	2.0
3rd row	5.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	6927	46.2%
4.0	2927	19.5%
2.0	1952	13.0%
5.0	1924	12.8%
1.0	1206	8.0%
(Missing)	64	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	6927	46.4%
4.0	2927	19.6%
2.0	1952	13.1%
5.0	1924	12.9%
1.0	1206	8.1%

Most occurring characters

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	6927	15.5%
4	2927	6.5%
2	1952	4.4%
5	1924	4.3%
1	1206	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29872	66.7%
Other Punctuation	14936	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14936	50.0%
3	6927	23.2%
4	2927	9.8%
2	1952	6.5%
5	1924	6.4%
1	1206	4.0%

Other Punctuation

Value	Count	Frequency (%)
.	14936	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44808	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	6927	15.5%
4	2927	6.5%
2	1952	4.4%
5	1924	4.3%
1	1206	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44808	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14936	33.3%
0	14936	33.3%
3	6927	15.5%
4	2927	6.5%
2	1952	4.4%
5	1924	4.3%
1	1206	2.7%

TIPI10
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	80
Missing (%)	0.5%
Memory size	117.3 KiB

3.0	5077
1.0	4993
2.0	3774
4.0	665
5.0	411

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44760
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	2.0
3rd row	2.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
3.0	5077	33.8%
1.0	4993	33.3%
2.0	3774	25.2%
4.0	665	4.4%
5.0	411	2.7%
(Missing)	80	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3.0	5077	34.0%
1.0	4993	33.5%
2.0	3774	25.3%
4.0	665	4.5%
5.0	411	2.8%

Most occurring characters

Value	Count	Frequency (%)
.	14920	33.3%
0	14920	33.3%
3	5077	11.3%
1	4993	11.2%
2	3774	8.4%
4	665	1.5%
5	411	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29840	66.7%
Other Punctuation	14920	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14920	50.0%
3	5077	17.0%
1	4993	16.7%
2	3774	12.6%
4	665	2.2%
5	411	1.4%

Other Punctuation

Value	Count	Frequency (%)
.	14920	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44760	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14920	33.3%
0	14920	33.3%
3	5077	11.3%
1	4993	11.2%
2	3774	8.4%
4	665	1.5%
5	411	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44760	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14920	33.3%
0	14920	33.3%
3	5077	11.3%
1	4993	11.2%
2	3774	8.4%
4	665	1.5%
5	411	0.9%

VCL1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	14380
0	620

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	14380	95.9%
0	620	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	14380	95.9%
0	620	4.1%

Most occurring characters

Value	Count	Frequency (%)
1	14380	95.9%
0	620	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14380	95.9%
0	620	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14380	95.9%
0	620	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14380	95.9%
0	620	4.1%

VCL2
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	13825
0	1175

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	13825	92.2%
0	1175	7.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	13825	92.2%
0	1175	7.8%

Most occurring characters

Value	Count	Frequency (%)
1	13825	92.2%
0	1175	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13825	92.2%
0	1175	7.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	13825	92.2%
0	1175	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	13825	92.2%
0	1175	7.8%

VCL3
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	7937
0	7063

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	7937	52.9%
0	7063	47.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	7937	52.9%
0	7063	47.1%

Most occurring characters

Value	Count	Frequency (%)
1	7937	52.9%
0	7063	47.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7937	52.9%
0	7063	47.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7937	52.9%
0	7063	47.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	7937	52.9%
0	7063	47.1%

VCL4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	14526
0	474

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	14526	96.8%
0	474	3.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	14526	96.8%
0	474	3.2%

Most occurring characters

Value	Count	Frequency (%)
1	14526	96.8%
0	474	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14526	96.8%
0	474	3.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14526	96.8%
0	474	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14526	96.8%
0	474	3.2%

VCL5
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	14210
0	790

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	14210	94.7%
0	790	5.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	14210	94.7%
0	790	5.3%

Most occurring characters

Value	Count	Frequency (%)
1	14210	94.7%
0	790	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14210	94.7%
0	790	5.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14210	94.7%
0	790	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14210	94.7%
0	790	5.3%

VCL6
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

0	13477
1	1523

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	13477	89.8%
1	1523	10.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	13477	89.8%
1	1523	10.2%

Most occurring characters

Value	Count	Frequency (%)
0	13477	89.8%
1	1523	10.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13477	89.8%
1	1523	10.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13477	89.8%
1	1523	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13477	89.8%
1	1523	10.2%

VCL7
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

0	11460
1	3540

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11460	76.4%
1	3540	23.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	11460	76.4%
1	3540	23.6%

Most occurring characters

Value	Count	Frequency (%)
0	11460	76.4%
1	3540	23.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11460	76.4%
1	3540	23.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11460	76.4%
1	3540	23.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11460	76.4%
1	3540	23.6%

VCL8
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

0	8451
1	6549

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	8451	56.3%
1	6549	43.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	8451	56.3%
1	6549	43.7%

Most occurring characters

Value	Count	Frequency (%)
0	8451	56.3%
1	6549	43.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8451	56.3%
1	6549	43.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8451	56.3%
1	6549	43.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8451	56.3%
1	6549	43.7%

VCL9
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

0	13992
1	1008

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	13992	93.3%
1	1008	6.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	13992	93.3%
1	1008	6.7%

Most occurring characters

Value	Count	Frequency (%)
0	13992	93.3%
1	1008	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13992	93.3%
1	1008	6.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13992	93.3%
1	1008	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13992	93.3%
1	1008	6.7%

VCL10
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	14341
0	659

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	14341	95.6%
0	659	4.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	14341	95.6%
0	659	4.4%

Most occurring characters

Value	Count	Frequency (%)
1	14341	95.6%
0	659	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14341	95.6%
0	659	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14341	95.6%
0	659	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14341	95.6%
0	659	4.4%

VCL11
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

0	10799
1	4201

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10799	72.0%
1	4201	28.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	10799	72.0%
1	4201	28.0%

Most occurring characters

Value	Count	Frequency (%)
0	10799	72.0%
1	4201	28.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10799	72.0%
1	4201	28.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10799	72.0%
1	4201	28.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10799	72.0%
1	4201	28.0%

VCL12
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

0	11846
1	3154

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11846	79.0%
1	3154	21.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	11846	79.0%
1	3154	21.0%

Most occurring characters

Value	Count	Frequency (%)
0	11846	79.0%
1	3154	21.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11846	79.0%
1	3154	21.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11846	79.0%
1	3154	21.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11846	79.0%
1	3154	21.0%

VCL13
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	11417
0	3583

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	11417	76.1%
0	3583	23.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	11417	76.1%
0	3583	23.9%

Most occurring characters

Value	Count	Frequency (%)
1	11417	76.1%
0	3583	23.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	11417	76.1%
0	3583	23.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	11417	76.1%
0	3583	23.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	11417	76.1%
0	3583	23.9%

VCL14
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	13593
0	1407

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	13593	90.6%
0	1407	9.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	13593	90.6%
0	1407	9.4%

Most occurring characters

Value	Count	Frequency (%)
1	13593	90.6%
0	1407	9.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13593	90.6%
0	1407	9.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	13593	90.6%
0	1407	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	13593	90.6%
0	1407	9.4%

VCL15
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	14398
0	602

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	14398	96.0%
0	602	4.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	14398	96.0%
0	602	4.0%

Most occurring characters

Value	Count	Frequency (%)
1	14398	96.0%
0	602	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14398	96.0%
0	602	4.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14398	96.0%
0	602	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14398	96.0%
0	602	4.0%

VCL16
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	14709
0	291

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	14709	98.1%
0	291	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	14709	98.1%
0	291	1.9%

Most occurring characters

Value	Count	Frequency (%)
1	14709	98.1%
0	291	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	14709	98.1%
0	291	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	14709	98.1%
0	291	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	14709	98.1%
0	291	1.9%

education
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	167
Missing (%)	1.1%
Memory size	117.3 KiB

2.0	6251
3.0	3887
1.0	2872
4.0	1823

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44499
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	4.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
2.0	6251	41.7%
3.0	3887	25.9%
1.0	2872	19.1%
4.0	1823	12.2%
(Missing)	167	1.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	6251	42.1%
3.0	3887	26.2%
1.0	2872	19.4%
4.0	1823	12.3%

Most occurring characters

Value	Count	Frequency (%)
.	14833	33.3%
0	14833	33.3%
2	6251	14.0%
3	3887	8.7%
1	2872	6.5%
4	1823	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29666	66.7%
Other Punctuation	14833	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14833	50.0%
2	6251	21.1%
3	3887	13.1%
1	2872	9.7%
4	1823	6.1%

Other Punctuation

Value	Count	Frequency (%)
.	14833	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44499	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14833	33.3%
0	14833	33.3%
2	6251	14.0%
3	3887	8.7%
1	2872	6.5%
4	1823	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44499	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14833	33.3%
0	14833	33.3%
2	6251	14.0%
3	3887	8.7%
1	2872	6.5%
4	1823	4.1%

urban
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

2	6888
3	5326
1	2704
0	82

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	1
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
2	6888	45.9%
3	5326	35.5%
1	2704	18.0%
0	82	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	6888	45.9%
3	5326	35.5%
1	2704	18.0%
0	82	0.5%

Most occurring characters

Value	Count	Frequency (%)
2	6888	45.9%
3	5326	35.5%
1	2704	18.0%
0	82	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	6888	45.9%
3	5326	35.5%
1	2704	18.0%
0	82	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	6888	45.9%
3	5326	35.5%
1	2704	18.0%
0	82	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	6888	45.9%
3	5326	35.5%
1	2704	18.0%
0	82	0.5%

gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	19
Missing (%)	0.1%
Memory size	117.3 KiB

2.0	9074
1.0	5178
3.0	729

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44943
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	2.0
3rd row	1.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	9074	60.5%
1.0	5178	34.5%
3.0	729	4.9%
(Missing)	19	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	9074	60.6%
1.0	5178	34.6%
3.0	729	4.9%

Most occurring characters

Value	Count	Frequency (%)
.	14981	33.3%
0	14981	33.3%
2	9074	20.2%
1	5178	11.5%
3	729	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29962	66.7%
Other Punctuation	14981	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14981	50.0%
2	9074	30.3%
1	5178	17.3%
3	729	2.4%

Other Punctuation

Value	Count	Frequency (%)
.	14981	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44943	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14981	33.3%
0	14981	33.3%
2	9074	20.2%
1	5178	11.5%
3	729	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44943	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14981	33.3%
0	14981	33.3%
2	9074	20.2%
1	5178	11.5%
3	729	1.6%

engnat
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	47
Missing (%)	0.3%
Memory size	117.3 KiB

1.0	9779
2.0	5174

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44859
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	9779	65.2%
2.0	5174	34.5%
(Missing)	47	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	9779	65.4%
2.0	5174	34.6%

Most occurring characters

Value	Count	Frequency (%)
.	14953	33.3%
0	14953	33.3%
1	9779	21.8%
2	5174	11.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29906	66.7%
Other Punctuation	14953	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14953	50.0%
1	9779	32.7%
2	5174	17.3%

Other Punctuation

Value	Count	Frequency (%)
.	14953	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44859	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14953	33.3%
0	14953	33.3%
1	9779	21.8%
2	5174	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44859	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14953	33.3%
0	14953	33.3%
1	9779	21.8%
2	5174	11.5%

age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	76
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.74086667

Minimum	13
Maximum	38822
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	13
5-th percentile	14
Q1	17
median	20
Q3	27
95-th percentile	49
Maximum	38822
Range	38809
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	317.0584356
Coefficient of variation (CV)	11.85670007
Kurtosis	14947.95196
Mean	26.74086667
Median Absolute Deviation (MAD)	4
Skewness	122.1567763
Sum	401113
Variance	100526.0516
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	1386	9.2%
17	1313	8.8%
16	1239	8.3%
19	1101	7.3%
20	932	6.2%
15	899	6.0%
21	833	5.6%
22	663	4.4%
23	605	4.0%
14	533	3.6%
Other values (66)	5496	36.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	353	2.4%
14	533	3.6%
15	899	6.0%
16	1239	8.3%
17	1313	8.8%
18	1386	9.2%
19	1101	7.3%
20	932	6.2%
21	833	5.6%
22	663	4.4%

Value	Count	Frequency (%)
38822	1	< 0.1%
722	1	< 0.1%
545	1	< 0.1%
336	1	< 0.1%
123	2	< 0.1%
100	1	< 0.1%
99	1	< 0.1%
88	1	< 0.1%
81	1	< 0.1%
80	1	< 0.1%

hand
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	47
Missing (%)	0.3%
Memory size	117.3 KiB

1.0	12794
2.0	1550
3.0	609

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44859
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	12794	85.3%
2.0	1550	10.3%
3.0	609	4.1%
(Missing)	47	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	12794	85.6%
2.0	1550	10.4%
3.0	609	4.1%

Most occurring characters

Value	Count	Frequency (%)
.	14953	33.3%
0	14953	33.3%
1	12794	28.5%
2	1550	3.5%
3	609	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29906	66.7%
Other Punctuation	14953	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14953	50.0%
1	12794	42.8%
2	1550	5.2%
3	609	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	14953	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44859	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14953	33.3%
0	14953	33.3%
1	12794	28.5%
2	1550	3.5%
3	609	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44859	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14953	33.3%
0	14953	33.3%
1	12794	28.5%
2	1550	3.5%
3	609	1.4%

religion
Real number (ℝ_≥0)

MISSING

Distinct	12
Distinct (%)	0.1%
Missing	245
Missing (%)	1.6%
Infinite	0
Infinite (%)	0.0%
Mean	4.098339546

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	6
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.425699163
Coefficient of variation (CV)	0.8358749012
Kurtosis	0.02402705209
Mean	4.098339546
Median Absolute Deviation (MAD)	1
Skewness	1.084271844
Sum	60471
Variance	11.73541476
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2	4335	28.9%
1	3665	24.4%
4	1674	11.2%
6	1317	8.8%
12	1233	8.2%
7	1198	8.0%
10	483	3.2%
8	246	1.6%
3	216	1.4%
9	211	1.4%
Other values (2)	177	1.2%
(Missing)	245	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3665	24.4%
2	4335	28.9%
3	216	1.4%
4	1674	11.2%
5	156	1.0%
6	1317	8.8%
7	1198	8.0%
8	246	1.6%
9	211	1.4%
10	483	3.2%

Value	Count	Frequency (%)
12	1233	8.2%
11	21	0.1%
10	483	3.2%
9	211	1.4%
8	246	1.6%
7	1198	8.0%
6	1317	8.8%
5	156	1.0%
4	1674	11.2%
3	216	1.4%

orientation
Categorical

MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	399
Missing (%)	2.7%
Memory size	117.3 KiB

1.0	8331
2.0	3157
4.0	1254
3.0	987
5.0	872

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	43803
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	8331	55.5%
2.0	3157	21.0%
4.0	1254	8.4%
3.0	987	6.6%
5.0	872	5.8%
(Missing)	399	2.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	8331	57.1%
2.0	3157	21.6%
4.0	1254	8.6%
3.0	987	6.8%
5.0	872	6.0%

Most occurring characters

Value	Count	Frequency (%)
.	14601	33.3%
0	14601	33.3%
1	8331	19.0%
2	3157	7.2%
4	1254	2.9%
3	987	2.3%
5	872	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29202	66.7%
Other Punctuation	14601	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14601	50.0%
1	8331	28.5%
2	3157	10.8%
4	1254	4.3%
3	987	3.4%
5	872	3.0%

Other Punctuation

Value	Count	Frequency (%)
.	14601	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	43803	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14601	33.3%
0	14601	33.3%
1	8331	19.0%
2	3157	7.2%
4	1254	2.9%
3	987	2.3%
5	872	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43803	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14601	33.3%
0	14601	33.3%
1	8331	19.0%
2	3157	7.2%
4	1254	2.9%
3	987	2.3%
5	872	2.0%

voted
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	85
Missing (%)	0.6%
Memory size	117.3 KiB

2.0	9443
1.0	5472

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44745
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	9443	63.0%
1.0	5472	36.5%
(Missing)	85	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	9443	63.3%
1.0	5472	36.7%

Most occurring characters

Value	Count	Frequency (%)
.	14915	33.3%
0	14915	33.3%
2	9443	21.1%
1	5472	12.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29830	66.7%
Other Punctuation	14915	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14915	50.0%
2	9443	31.7%
1	5472	18.3%

Other Punctuation

Value	Count	Frequency (%)
.	14915	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44745	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14915	33.3%
0	14915	33.3%
2	9443	21.1%
1	5472	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44745	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14915	33.3%
0	14915	33.3%
2	9443	21.1%
1	5472	12.2%

married
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	82
Missing (%)	0.5%
Memory size	117.3 KiB

1.0	12753
2.0	1646
3.0	519

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44754
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	3.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	12753	85.0%
2.0	1646	11.0%
3.0	519	3.5%
(Missing)	82	0.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	12753	85.5%
2.0	1646	11.0%
3.0	519	3.5%

Most occurring characters

Value	Count	Frequency (%)
.	14918	33.3%
0	14918	33.3%
1	12753	28.5%
2	1646	3.7%
3	519	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29836	66.7%
Other Punctuation	14918	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14918	50.0%
1	12753	42.7%
2	1646	5.5%
3	519	1.7%

Other Punctuation

Value	Count	Frequency (%)
.	14918	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44754	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14918	33.3%
0	14918	33.3%
1	12753	28.5%
2	1646	3.7%
3	519	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44754	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14918	33.3%
0	14918	33.3%
1	12753	28.5%
2	1646	3.7%
3	519	1.2%

familysize
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	20
Distinct (%)	0.1%
Missing	319
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	2.744091002

Minimum	1
Maximum	2919
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	117.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	5
Maximum	2919
Range	2918
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	24.10934383
Coefficient of variation (CV)	8.785912643
Kurtosis	14585.55984
Mean	2.744091002
Median Absolute Deviation (MAD)	1
Skewness	120.5748218
Sum	40286
Variance	581.2604598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
2	6303	42.0%
3	3573	23.8%
1	2373	15.8%
4	1445	9.6%
5	535	3.6%
6	256	1.7%
7	97	0.6%
8	53	0.4%
9	14	0.1%
10	10	0.1%
Other values (10)	22	0.1%
(Missing)	319	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2373	15.8%
2	6303	42.0%
3	3573	23.8%
4	1445	9.6%
5	535	3.6%
6	256	1.7%
7	97	0.6%
8	53	0.4%
9	14	0.1%
10	10	0.1%

Value	Count	Frequency (%)
2919	1	< 0.1%
39	2	< 0.1%
23	2	< 0.1%
19	1	< 0.1%
17	1	< 0.1%
16	1	< 0.1%
14	2	< 0.1%
13	5	< 0.1%
12	3	< 0.1%
11	4	< 0.1%

ASD
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	89
Missing (%)	0.6%
Memory size	117.3 KiB

2.0	13997
1.0	914

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	44733
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	13997	93.3%
1.0	914	6.1%
(Missing)	89	0.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	13997	93.9%
1.0	914	6.1%

Most occurring characters

Value	Count	Frequency (%)
.	14911	33.3%
0	14911	33.3%
2	13997	31.3%
1	914	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	29822	66.7%
Other Punctuation	14911	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	14911	50.0%
2	13997	46.9%
1	914	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	14911	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44733	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	14911	33.3%
0	14911	33.3%
2	13997	31.3%
1	914	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44733	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	14911	33.3%
0	14911	33.3%
2	13997	31.3%
1	914	2.0%

nerdiness
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	117.3 KiB

1	8303
0	6697

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	15000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	8303	55.4%
0	6697	44.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	8303	55.4%
0	6697	44.6%

Most occurring characters

Value	Count	Frequency (%)
1	8303	55.4%
0	6697	44.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	8303	55.4%
0	6697	44.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	15000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	8303	55.4%
0	6697	44.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	8303	55.4%
0	6697	44.6%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	Q1	Q2	Q3	Q4	Q5	Q6	Q7	Q8	Q9	Q10	Q11	Q12	Q13	Q14	Q15	Q16	Q17	Q18	Q19	Q20	Q21	Q22	Q23	Q24	Q25	Q26	country	introelapse	testelapse	surveyelapse	TIPI1	TIPI2	TIPI3	TIPI4	TIPI5	TIPI6	TIPI7	TIPI8	TIPI9	TIPI10	VCL1	VCL2	VCL3	VCL4	VCL5	VCL6	VCL7	VCL8	VCL10	VCL11	VCL13	VCL14	VCL15	VCL16	education	urban	gender	engnat	age	hand	religion	orientation	voted	married	familysize	ASD	nerdiness
0	0	1.0	5.0	5.0	5.0	1.0	4.0	5.0	5.0	1.0	3.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	1.0	5.0	5.0	1.0	5.0	1.0	5.0	1.0	1.0	USA	3	553	6	4.0	3.0	5.0	1.0	3.0	5.0	5.0	3.0	5.0	3.0	1	1	0	1	1	0	0	0	1	0	0	1	1	1	2.0	1	3.0	1.0	20	2.0	12.0	4.0	2.0	1.0	4.0	2.0	1
1	1	4.0	4.0	4.0	4.0	4.0	5.0	4.0	4.0	3.0	3.0	1.0	4.0	5.0	3.0	1.0	2.0	4.0	5.0	1.0	3.0	1.0	1.0	5.0	3.0	2.0	5.0	USA	5	85	120	4.0	2.0	3.0	5.0	3.0	2.0	5.0	1.0	2.0	2.0	1	1	1	1	1	0	1	0	1	0	1	1	1	1	4.0	2	2.0	1.0	49	1.0	2.0	1.0	1.0	2.0	4.0	2.0	1
2	2	4.0	5.0	5.0	4.0	3.0	5.0	5.0	5.0	4.0	4.0	2.0	5.0	5.0	5.0	1.0	3.0	5.0	3.0	5.0	2.0	2.0	1.0	2.0	4.0	2.0	5.0	NLD	9	108	100	1.0	2.0	3.0	1.0	5.0	5.0	3.0	4.0	5.0	2.0	1	1	0	1	1	0	1	1	1	0	1	1	1	1	2.0	1	1.0	2.0	43	1.0	2.0	2.0	2.0	3.0	4.0	2.0	1
3	3	4.0	4.0	4.0	2.0	4.0	3.0	3.0	5.0	3.0	4.0	5.0	2.0	2.0	4.0	4.0	2.0	4.0	5.0	4.0	3.0	3.0	4.0	3.0	4.0	4.0	2.0	USA	2	121	139	3.0	3.0	3.0	4.0	5.0	3.0	4.0	4.0	3.0	3.0	1	1	0	1	1	0	0	0	1	0	1	1	1	1	1.0	3	1.0	1.0	17	2.0	1.0	1.0	2.0	1.0	2.0	2.0	1
4	4	4.0	4.0	4.0	4.0	3.0	3.0	4.0	2.0	3.0	4.0	4.0	4.0	3.0	5.0	5.0	2.0	4.0	1.0	4.0	2.0	4.0	2.0	3.0	4.0	4.0	4.0	ITA	3	640	216	3.0	3.0	4.0	4.0	4.0	4.0	3.0	4.0	3.0	2.0	1	1	0	1	1	0	0	1	1	0	0	1	0	1	1.0	2	2.0	2.0	18	2.0	12.0	1.0	2.0	1.0	1.0	2.0	0
5	5	5.0	4.0	5.0	5.0	5.0	5.0	5.0	4.0	4.0	3.0	4.0	5.0	2.0	3.0	4.0	1.0	1.0	2.0	4.0	2.0	2.0	2.0	3.0	5.0	3.0	5.0	USA	3	100	176	5.0	3.0	3.0	3.0	5.0	2.0	4.0	5.0	3.0	1.0	1	1	0	1	1	0	0	1	1	0	1	1	1	1	3.0	2	1.0	1.0	26	1.0	1.0	1.0	1.0	1.0	1.0	1.0	1
6	6	4.0	3.0	4.0	3.0	5.0	4.0	5.0	4.0	5.0	5.0	3.0	5.0	5.0	3.0	3.0	3.0	5.0	5.0	3.0	4.0	4.0	3.0	5.0	5.0	3.0	5.0	USA	17	88	164	3.0	2.0	5.0	3.0	4.0	3.0	3.0	2.0	3.0	2.0	1	1	0	1	1	0	0	0	1	0	1	1	1	1	4.0	3	2.0	2.0	40	1.0	1.0	1.0	2.0	1.0	1.0	2.0	1
7	7	4.0	5.0	4.0	4.0	4.0	4.0	2.0	5.0	3.0	4.0	2.0	2.0	3.0	3.0	5.0	2.0	4.0	5.0	2.0	3.0	5.0	3.0	5.0	5.0	1.0	4.0	NLD	20	53	112	3.0	2.0	5.0	5.0	3.0	3.0	3.0	2.0	2.0	2.0	1	1	1	1	0	0	0	1	1	1	1	1	1	1	3.0	1	2.0	2.0	34	1.0	2.0	5.0	1.0	1.0	2.0	2.0	1
8	8	4.0	4.0	3.0	4.0	4.0	5.0	4.0	3.0	3.0	4.0	4.0	4.0	3.0	3.0	3.0	1.0	2.0	4.0	1.0	3.0	1.0	2.0	5.0	3.0	1.0	4.0	USA	9	164	213	3.0	1.0	4.0	3.0	4.0	3.0	4.0	1.0	3.0	3.0	1	1	1	1	1	1	0	0	1	0	1	1	1	1	2.0	2	2.0	1.0	20	1.0	7.0	1.0	1.0	1.0	3.0	2.0	0
9	9	3.0	3.0	4.0	3.0	4.0	2.0	4.0	2.0	4.0	4.0	5.0	4.0	1.0	4.0	2.0	5.0	4.0	4.0	5.0	3.0	1.0	1.0	2.0	4.0	4.0	2.0	ARE	109	134	177	2.0	2.0	5.0	3.0	3.0	4.0	4.0	2.0	4.0	4.0	1	1	0	1	1	0	0	0	1	0	1	1	1	1	2.0	2	1.0	2.0	17	1.0	10.0	1.0	2.0	1.0	5.0	2.0	0

Last rows

	df_index	Q1	Q2	Q3	Q4	Q5	Q6	Q7	Q8	Q9	Q10	Q11	Q12	Q13	Q14	Q15	Q16	Q17	Q18	Q19	Q20	Q21	Q22	Q23	Q24	Q25	Q26	country	introelapse	testelapse	surveyelapse	TIPI1	TIPI2	TIPI3	TIPI4	TIPI5	TIPI6	TIPI7	TIPI8	TIPI9	TIPI10	VCL1	VCL2	VCL3	VCL4	VCL5	VCL7	VCL8	VCL9	VCL10	VCL11	VCL12	VCL13	VCL14	VCL15	VCL16	education	urban	gender	engnat	age	hand	religion	orientation	voted	married	familysize	ASD	nerdiness
14990	14990	5.0	5.0	5.0	3.0	5.0	1.0	5.0	5.0	5.0	3.0	3.0	1.0	1.0	5.0	1.0	3.0	1.0	3.0	5.0	1.0	5.0	1.0	3.0	5.0	1.0	5.0	PAK	5	149	216	3.0	3.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	1.0	1	0	0	1	0	0	0	0	1	0	0	0	0	1	1	2.0	1	2.0	2.0	15	1.0	10.0	NaN	2.0	1.0	5.0	2.0	0
14991	14991	4.0	5.0	4.0	4.0	5.0	5.0	5.0	3.0	NaN	5.0	1.0	5.0	5.0	4.0	1.0	3.0	4.0	3.0	1.0	5.0	3.0	3.0	5.0	5.0	5.0	5.0	USA	408	382	198	2.0	3.0	NaN	3.0	5.0	3.0	3.0	2.0	3.0	1.0	1	1	1	1	1	1	0	0	1	1	0	1	1	1	1	NaN	1	2.0	1.0	80	1.0	3.0	1.0	1.0	3.0	3.0	2.0	1
14992	14992	5.0	5.0	5.0	5.0	5.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	3.0	5.0	4.0	5.0	5.0	CAN	3	77	189	2.0	3.0	3.0	2.0	4.0	5.0	3.0	4.0	4.0	1.0	1	1	1	1	1	1	0	0	1	0	1	1	1	1	1	3.0	1	2.0	2.0	24	1.0	12.0	2.0	1.0	1.0	3.0	1.0	1
14993	14993	5.0	2.0	1.0	3.0	4.0	3.0	1.0	4.0	4.0	3.0	1.0	1.0	3.0	2.0	1.0	2.0	2.0	2.0	1.0	3.0	4.0	1.0	2.0	4.0	1.0	4.0	USA	5	87	147	4.0	4.0	3.0	3.0	4.0	2.0	3.0	3.0	3.0	1.0	1	1	0	1	1	0	0	0	1	0	0	0	0	1	1	1.0	2	2.0	1.0	13	1.0	1.0	1.0	2.0	1.0	3.0	2.0	0
14994	14994	5.0	5.0	2.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	1.0	5.0	5.0	5.0	4.0	5.0	5.0	5.0	2.0	5.0	5.0	3.0	5.0	5.0	3.0	5.0	AUS	4	66	80810	3.0	3.0	3.0	3.0	4.0	3.0	5.0	5.0	3.0	2.0	1	1	1	1	1	1	0	0	1	1	0	1	1	1	1	3.0	2	2.0	1.0	36	1.0	12.0	5.0	2.0	1.0	5.0	2.0	1
14995	14995	2.0	5.0	4.0	3.0	3.0	4.0	4.0	4.0	3.0	4.0	1.0	4.0	4.0	3.0	4.0	4.0	2.0	5.0	2.0	4.0	1.0	2.0	5.0	4.0	2.0	4.0	USA	12	103	161	2.0	2.0	4.0	3.0	3.0	5.0	3.0	3.0	3.0	3.0	1	1	1	1	1	0	0	0	1	0	1	1	1	1	1	2.0	2	2.0	1.0	17	1.0	1.0	3.0	2.0	1.0	3.0	2.0	0
14996	14996	5.0	4.0	5.0	4.0	4.0	5.0	5.0	4.0	4.0	5.0	1.0	4.0	4.0	4.0	2.0	5.0	5.0	4.0	1.0	5.0	3.0	4.0	4.0	5.0	4.0	5.0	USA	31	106	179	3.0	2.0	4.0	5.0	4.0	3.0	4.0	1.0	2.0	2.0	1	1	0	1	1	0	0	0	1	0	0	0	1	1	1	4.0	1	2.0	2.0	45	1.0	3.0	1.0	1.0	2.0	3.0	2.0	1
14997	14997	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	4.0	5.0	4.0	5.0	5.0	5.0	5.0	5.0	5.0	5.0	4.0	5.0	5.0	2.0	5.0	5.0	3.0	4.0	USA	17	103	168	1.0	3.0	2.0	5.0	1.0	5.0	3.0	3.0	1.0	1.0	1	1	0	1	1	0	0	0	1	0	0	1	1	1	1	2.0	2	2.0	1.0	20	1.0	1.0	2.0	1.0	1.0	3.0	1.0	1
14998	14998	5.0	5.0	4.0	5.0	5.0	5.0	5.0	1.0	5.0	5.0	3.0	5.0	4.0	4.0	1.0	5.0	4.0	5.0	5.0	2.0	5.0	3.0	5.0	3.0	3.0	5.0	USA	14	68	109	1.0	1.0	3.0	5.0	4.0	5.0	5.0	4.0	2.0	1.0	1	1	1	1	1	0	1	0	1	0	1	1	1	1	1	3.0	2	2.0	1.0	29	1.0	12.0	4.0	2.0	2.0	2.0	1.0	0
14999	14999	5.0	4.0	2.0	5.0	2.0	2.0	4.0	2.0	4.0	4.0	4.0	4.0	3.0	3.0	4.0	3.0	3.0	3.0	5.0	3.0	4.0	2.0	3.0	4.0	3.0	4.0	BRA	8	182	348	4.0	3.0	3.0	3.0	4.0	2.0	4.0	4.0	3.0	2.0	1	1	1	1	1	0	0	1	1	1	1	1	1	1	1	2.0	3	1.0	2.0	21	1.0	2.0	2.0	2.0	1.0	1.0	2.0	1

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation